Biology subjects

Gubser Keller, C.

Publications and source records attributed to Gubser Keller, C..

4 recordsLinked to original sources

bioRxiv2025

Specificity and exon target space of splicing modifying compounds

Modulation of splicing has become an established therapeutic strategy, with proven clinical applications and continued potential to target specific exons to influence gene expression. Recent advancements led to the identification of small molecule splicing modifiers such as Risdiplam and Branaplam. These compounds induce the inclusion of exons that are typically skipped due to their weak 5' splice site. While Risdiplam has a preference to induce exons with a N-3G-2A-1 sequence at the 3' exon end, Branaplam has a proclivity towards introducing A-3G-2A-1 -ending exons. However, the variables that determine the selectivity and specificity of splicing modulators are still not completely understood, as evidenced by the hundreds of unaffected N-3G-2A-1 -ending exons present in the human genome. In this study, we delve into the molecular mechanisms governing the specificity of splicing-modifying compounds, focusing on their interactions with RNA structures at splice sites. Using biochemical assays, whole transcriptome analyses, and genetic perturbation approaches, our findings reveal contributions of primary sequence codependencies that help determine the required secondary structural conformation, thus governing responsiveness to splicing modulator induction. Based on these learnings, we were able to reprogram the specificity of splicing modulators by genetic manipulation of the U1 snRNA component of the spliceosome. Our findings further the understanding of splicing modulators and might help to identify new targets and compounds.

molecular biology↗

bioRxiv2021

Sustained TREM2 stabilization accelerates microglia heterogeneity and Abeta pathology in a mouse model of Alzheimer s disease

TREM2 is a transmembrane protein expressed exclusively in microglia in the brain that regulates inflammatory responses to pathological conditions. Proteolytic cleavage of membrane TREM2 affects microglial function and is associated with Alzheimers disease, but the consequence of reduced TREM2 proteolytic cleavage has not been determined. We generated a transgenic mouse model of reduced TREM2 shedding (Trem2-IPD) through amino acid substitution of ADAM-protease recognition site. We found that Trem2-IPD mice displayed increased TREM2 cell surface receptor load, survival and function in myeloid cells. Using single cell transcriptomic profiling of mouse cortex we show that sustained TREM2 stabilization induces a shift of fate in microglial maturation and accelerates microglial responses to A{beta} pathology in a mouse model of Alzheimers disease. Our data indicate that reduction of TREM2 proteolytic cleavage aggravates neuroinflammation during the course of AD pathology suggesting that TREM2 shedding is a critical regulator of microglial activity in pathological states.

neuroscience↗

bioRxiv2021

DRUG-seq Provides Unbiased Biological Activity Readouts for Drug Discovery

Unbiased transcriptomic RNA-seq data has provided deep insights about biological processes. However, its impact in drug discovery has been narrow given high costs and low throughput. Proof-of-concept studies with Digital RNA with pertUrbation of Genes (DRUG)-seq demonstrated the potential to address this gap. We extended the DRUG-seq platform by subjecting it to rigorous testing and by adding an open-source analysis pipeline. The results demonstrate high reproducibility and ability to resolve the mechanism(s) of action for a diverse set of compounds. Overall, the protocol and open-source analysis pipeline are a step towards industrializing RNA-seq for high complexity transcriptomics studies performed at a saturating scale.

genomics↗

bioRxiv2019

CellSIUS provides sensitive and specific detection of rare cell populations from complex single cell RNA-seq data

Comprehensive benchmarking of computational methods for single-cell RNA sequencing (scRNA-seq) analysis is scarce. Using a modular workflow and a large dataset with known cell composition, we benchmarked feature selection and clustering methodologies for scRNA-seq data. Results highlighted a methodology gap for rare cell population identification for which we developed CellSIUS (Cell Subtype Identification from Upregulated gene Sets). CellSIUS outperformed existing approaches, enabled the identification of rare cell populations and, in contrast to other methods, simultaneously revealed transcriptomic signatures indicative of the rare cells function. We exemplified the use of our workflow and CellSIUS for the characterization of a human pluripotent cell 3D spheroid differentiation protocol recapitulating deep-layer corticogenesis in vitro. Results revealed lineage bifurcation between Cajal-Retzius cells and layer V/VI neurons as well as rare cell populations that differ by migratory, metabolic, or cell cycle status, including a choroid plexus neuroepithelial subgroup, revealing previously unrecognized complexity in human stem cell-derived cellular populations.

bioinformatics↗